Data Engineering Resources

Mastering SwiftUI Gestures: Basic to Advanced

Learn to implement and combine SwiftUI gestures. From basic taps and swipes to advanced drag and custom gestures, master user interaction in your iOS apps.

May 11, 2026

by Pavel Andreev

· 2,108 Views

Stop Using Python for Your GenAI Apps, Use Go and Genkit Instead

Python has dominated the GenAI conversation, but it is neither the only nor the best option for production. Here is why Go is a stronger bet.

May 11, 2026

by Xavier Portilla Edo

CORE

· 2,086 Views · 1 Like

How to Effectively Evaluate a Ranking ML System

Evaluating ranking systems requires more than offline metrics. Learn how to use offline, online, and business metrics to measure real impact.

May 11, 2026

by Muthukumaran Vaithianathan

· 2,420 Views

Hallucination Has Real Consequences — Lessons From Building AI Systems

This article explains why hallucinations happen, the types, and practical ways to reduce them using RAG, low temperature, guardrails, and validation layers.

May 11, 2026

by Ram Ghadiyaram

CORE

· 2,619 Views · 2 Likes

Improving Java Application Reliability with Dynatrace AI Engine

Leverage Dynatrace’s AI-powered observability to automatically detect anomalies, pinpoint root causes, and prevent performance issues in Java applications.

May 11, 2026

by Ramya vani Rayala

· 2,003 Views · 1 Like

Building a Production-Ready AI Agent in 2026: Beyond the Hello World Demo

Stop treating AI agents like prompts — treat them like software. To ship in 2026: validated tool contracts, tiered memory, RAG grounding, and deep observability.

May 8, 2026

by Nikita Kothari

· 3,395 Views · 2 Likes

Beyond SOLID: Embracing CUPID for Modern Software Craftsmanship

CUPID shifts focus from rigid SOLID rules to practical, human-centric principles that make code composable, idiomatic, and enjoyable to maintain.

May 8, 2026

by Nikita Kothari

· 2,747 Views · 3 Likes

The Only AI Test That Still Humbles Every Machine on Earth

ARC-AGI shows the real gap in AI: humans generalize fast in new situations, while top models still struggle with true adaptive reasoning.

May 8, 2026

by Faisal Feroz

· 3,813 Views · 1 Like

Custom Model Context Protocol (MCP) for NL2SQL: A Rigorous Evaluation Framework on Oracle Database

Used MCP to evaluate LLM-generated SQL on Oracle: baseline vs MCP, comparing semantics, order, strings, and EXPLAIN PLAN on 500-query TPC-H.

May 8, 2026

by Sanjay Mishra

· 2,118 Views

RAG Done Right: When to Use SQL, Search, and Vector Retrieval and How To Combine Them

RAG failures stem from retrieval, not models. Replace one-size-fits-all vector search with a decision framework, hybrid flow, and guardrails for reliable systems.

May 8, 2026

by Ram Ghadiyaram

CORE

· 3,278 Views · 8 Likes

How AI Is Rewriting Full-Stack Java Systems: Practical Patterns with Spring Boot, Kafka and WebSockets

Decouple heavy processing with Spring Boot, Kafka, and WebSockets: AI consumers analyze events asynchronously, while WebSockets deliver real-time insights to users.

May 8, 2026

by Ramya vani Rayala

· 2,986 Views · 1 Like

The Data Warehouse Concurrency Playbook: Surviving the "Super Bowl" Moment

Classify requests (dashboards vs exploration/jobs), cap and prioritize concurrency, and fall back to cache/rollups so critical dashboards stay responsive during spikes.

May 8, 2026

by Anusha Kovi

CORE

· 2,197 Views

How to Implement AI Agents in Rails With RubyLLM

Learn how to implement your first AI agents with the help of RubyLLM. Define a chat interface with access to a set of SERP tools that LLM models can use in their work.

May 7, 2026

by Josef Strzibny

· 2,121 Views · 2 Likes

Why Your RAG Pipeline Will Fail Without an MCP Server

RAG was supposed to fix hallucinations. Instead, it quietly introduced a new class of production failures nobody warned you about.

May 7, 2026

by Jaswinder Kumar

· 2,470 Views · 1 Like

Identity Security in the Age of Agentic AI: What Engineers Need to Know

A practical guide to why traditional identity systems break with agentic AI, and what engineers need to architect differently.

May 7, 2026

by Ashly Joseph

· 2,259 Views · 1 Like

From Compliance Pipes to Data Streams: Modernizing Healthcare EDI for Strategic Value

The real cost of black-box EDI isn’t fees — it’s missed opportunities. Here’s how to turn healthcare data flow into a strategic asset.

May 7, 2026

by Naga Sai Mrunal Vuppala

· 2,318 Views

Designing Self-Healing AI Infrastructure: The Role of Autonomous Recovery

Distributed AI systems fail faster than humans can respond, making traditional response insufficient. Self-healing systems use telemetry and automation to recover early.

May 7, 2026

by Sayali Patil

· 4,939 Views · 5 Likes

Why AI Forces a Rethink of Everything We Know About Software Security

AI-driven development expands attack surfaces; this article shows how continuous security, zero trust, and runtime enforcement scale DevSecOps in AI pipelines.

May 7, 2026

by Apostolos Giannakidis

CORE

· 2,886 Views · 1 Like

Responsible AI Is an Engineering Problem, not a Policy Document

Responsible AI is an engineering problem and not a policy document. It must be mandatory to ensure AI systems are designed, built, and used responsibly.

May 7, 2026

by Indirakumar Rajendiran

· 1,573 Views

Production Checklist for Tool-Using AI Agents in Enterprise Apps

Tool-using AI agents are production software. The same ops discipline applies, but some traditional assumptions quietly break.

May 7, 2026

by Pier-Jean MALANDRINO

CORE

· 3,391 Views · 1 Like

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